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Journal : Technomedia Journal

Evaluasi Keberhasilan Implementasi Sistem Informasi Manajemen Proyek dalam Meningkatkan Efektivitas Tim Kerja: Evaluating the Success of Project Management Information System Implementation to Enhance Work Team Effectiveness Rakhmansyah, Mohamad; Sunarjo, Richard Andre; Lutfiani, Ninda; Riskhandini, Dinda Putri; Shepard, Anjani
Technomedia Journal Vol 9 No 3 (2025): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i3.2419

Abstract

This research aims to} evaluate the success of the implementation of the Project Management Information System (SIMP) in increasing the effectiveness of work teams, by utilizing key performance indicators (KPI) as a measuring tool. In the era of digitalization, the use of SIMP is increasingly widespread in various organizations to manage projects and optimize team collaboration. However, although many companies adopt SIMP, implementation results often vary, depending on the effectiveness of using the system in daily practice. The approach used in this research is quantitative descriptive, with data collection through questionnaire surveys to team members who have actively used SIMP in their work for a minimum of six months. Some of the main performance indicators evaluated include time efficiency, quality of work results, team satisfaction, and effectiveness of communication between team members. Data analysis was carried out descriptively to assess the performance of each indicator and identify roles SIMP in supporting overall team performance. The research results show that SIMP plays a significant role in increasing the efficiency of task completion times, improving the quality of project results by reducing errors, increasing team member satisfaction with better collaboration, and facilitating more effective communication between members. Based on these results, it is concluded that SIMP implementation is able to support the effectiveness of the work team as a whole, although there are challenges such as the need for initial adaptation and training. Recommendations are given that companies carry out regular training and system maintenance to ensure the continued effectiveness of SIMP use. It is hoped that this research will provide guidance for other organizations in evaluating and optimizing use SIMP at their workplace.
Utilizing Generative AI Models in Architectural Design An Innovative Approach Palupi Meilani, Yohana F. Cahya; Rohim, Rohim; Rozi, Achmad; Sunarjo, Richard Andre; Moyo, Kgomotso
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/wg15r798

Abstract

In the context of modern architectural design that demands innovation, speed, and efficiency, the emergence of generative artificial intelligence (AI) introduces a new paradigm in the creative process. This technology enables architects to explore design ideas more rapidly and extensively through diffusion-based algorithms capable of producing complex architectural visuals in a short amount of time. This study aims to empirically evaluate the effectiveness and efficiency of generative AI models, particularly Stable Diffusion v2.1, in supporting the stages of ideation, sketching, and architectural modeling. The research employs both qualitative and quantitative approaches through a comparative experiment between manual design and AI-assisted design. Measurements were conducted using four main parameters: production time, visual complexity, rendering sharpness, and the number of design iterations. The results indicate that the generative AI model can accelerate production time by up to 35% greater efficiency compared to the manual method. Furthermore, the Visual Complexity Score (VCS) reached 8.5/10 for AI-generated designs and 6.2/10 for manual ones, with an increase in rendering resolution up to 450 PPI. However, limitations were observed in semantic interpretation and the model’s dependence on well-crafted prompts. This study concludes that the integration of generative AI in architectural design not only enhances the efficiency and effectiveness of the design process but also expands the creative potential of architects. The research contributes to the development of sustainable digital architecture and supports the achievement of SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities).